Hunyuan3D 2.1 一键生成高保真带材质3D资产，适合游戏与工业设计
Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material
- 分两阶段生成：先用DiT生成形状，再用Paint合成真实材质
- 支持高分辨率纹理，可直接用于游戏与虚拟现实场景
- 提供完整训练到部署流程，降低3D生成技术门槛
3D AI生成内容（AIGC）在游戏、影视和设计领域快速发展，但因3D数据采集、处理与训练复杂，仍主要限于研究人员与开发者。为解决这一问题，本文介绍Hunyuan3D 2.1——一个面向生产环境的高保真3D资产生成系统。该系统包含两个核心组件：基于DiT的形状生成模型（Hunyuan3D-DiT）和纹理合成模型（Hunyuan3D-Paint）。本教程提供从3D数据处理、模型架构设计、训练策略、评估指标到部署的全流程指导。通过本教程，用户可掌握微调或构建适用于游戏、虚拟现实及工业设计的稳健3D生成模型。
原文摘要 · Abstract (English)
3D AI-generated content (AIGC) is a passionate field that has significantly accelerated the creation of 3D models in gaming, film, and design. Despite the development of several groundbreaking models that have revolutionized 3D generation, the field remains largely accessible only to researchers, developers, and designers due to the complexities involved in collecting, processing, and training 3D models. To address these challenges, we introduce Hunyuan3D 2.1 as a case study in this tutorial. This tutorial offers a comprehensive, step-by-step guide on processing 3D data, training a 3D generative model, and evaluating its performance using Hunyuan3D 2.1, an advanced system for producing high-resolution, textured 3D assets. The system comprises two core components: the Hunyuan3D-DiT for shape generation and the Hunyuan3D-Paint for texture synthesis. We will explore the entire workflow, including data preparation, model architecture, training strategies, evaluation metrics, and deployment. By the conclusion of this tutorial, you will have the knowledge to finetune or develop a robust 3D generative model suitable for applications in gaming, virtual reality, and industrial design.
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